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Dutt, Sarthika; Ahuja, Neelu Jyothi; Kumar, Manoj – Education and Information Technologies, 2022
Several studies have investigated the need for learning difficulties identification specifically Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children is a multiple screening process under psychologist's supervision. Learning difficulties identification is a difficult task; it affects the learning process…
Descriptors: Intelligent Tutoring Systems, Special Education, Learning Disabilities, Students with Disabilities
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Jo, Hyunmyung – Cambridge Journal of Education, 2022
Despite the growing importance of shadow education, literature on middle-class parental involvement has focused on the significance of family-school partnerships, and has neglected to examine the influence of parental involvement in terms of shadow education. Drawing on narratives of middle-class Korean mothers, this study explores their…
Descriptors: Parent Participation, Mothers, Social Networks, Middle Class
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Watts, Darren W.; Cushion, Christopher J.; Cale, Lorraine – Sport, Education and Society, 2022
Coach educators' voices rarely feature in the coaching literature. To address this gap, this research explored the journeys and perceptions and understandings of learning of 16 coach educators (tutors) in the United Kingdom (UK). As such, the research enabled the voices of these coach educators to be heard and their socialisation processes to be…
Descriptors: Athletic Coaches, Athletics, Physical Education, Physical Education Teachers
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Nguyen, Hanh thi; Choe, Ann Tai; Vicentini, Cristiane – Classroom Discourse, 2022
To inform pedagogical decisions about using technology, it is important to understand from the ground up how technology is utilised during language learning activities. This paper takes an ethnomethodological conversation analytic approach to examine a learner's participation in epistemic management actions and its consequences for second language…
Descriptors: Second Language Learning, Online Searching, Intelligent Tutoring Systems, Videoconferencing
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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
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Chabbott, Colette; Sinclair, Margaret – Prospects: Quarterly Review of Comparative Education, 2020
COVID-19 once again revealed the inherent weaknesses in relying on classroom-based schooling and ICT to sustain learning, a danger already familiar from earlier man-made and natural disasters. A lack of textbooks and lack of guidance for caregivers to support home-based learning limited the effectiveness of efforts to provide continuity of…
Descriptors: COVID-19, Educational Change, Textbooks, Home Schooling
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Shakya, Anup; Rus, Vasile; Venugopal, Deepak – International Educational Data Mining Society, 2023
Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…
Descriptors: Equal Education, Mathematics Education, Word Problems (Mathematics), Problem Solving
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Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology
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DeFeo, Dayna Jean; Mammo, Behailu; Tran, Trang C. – Teacher Educator, 2023
In this single case study, we explore how four preservice math teachers developed their self-efficacy through a peer tutoring experience in a college math lab. Using pre- post self-efficacy assessments, faculty observations, researcher observations, faculty interviews, and interviews with the preservice teachers themselves, our analysis describes…
Descriptors: Preservice Teachers, Preservice Teacher Education, Mathematics Teachers, Self Efficacy
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Xu, Xiaoqiu; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan – American Journal of Distance Education, 2023
The recent surge of online language learning services in the past decade has benefitted second language learners. However, there is a lack of understanding of whether learners, especially young learners, are engaged in online learning, and how educators can enhance the engagement of the online learning experience. This study examines an artificial…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Learner Engagement
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Osgood, Libby; MacIntyre, Rebecca; Pollard-Feehan, Erin – Advances in Engineering Education, 2023
An Engineering Success Centre was formed with the long-term goals of providing targeted first-year support, increasing retention, and developing leaders. The novelty of the Centre is that the priorities and activities were defined by the students that were employed to run it in a shared leadership model. Student leaders were in various years of…
Descriptors: Engineering Education, School Holding Power, Academic Support Services, Student Leadership
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Adams, David L.; Hord, Casey; Madden, Morgan; Ryan, Avery – Insights into Learning Disabilities, 2023
This study utilized a single-subject case study design to investigate the perceptions of a high school student with a learning disability of one-on-one tutoring. Students with learning disabilities have lower academic confidence and self-efficacy than non-disabled students. One-on-one tutoring provides a context in which students with learning…
Descriptors: Tutoring, Self Efficacy, High School Students, Student Attitudes
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Megan Bowers; Yilin Wendland-Liu – COABE Journal: The Resource for Adult Education, 2023
The Adult Tutoring Program within the Literacy Center of West Michigan has been running monthly professional developments (PDs) (known as tutor in-services) for volunteer tutors since early 2021. All in-services fit into at least one of the categories of strategies, life skills, civics, next steps, or digital literacy. The team has been able to…
Descriptors: Tutoring, Adult Education, Volunteers, Behavioral Objectives
Carrie L. Cooper – ProQuest LLC, 2023
This action research study implemented an intervention, the Learn at Work program, for operational employees in facilities management at William & Mary earning less than $19 an hour. One of eight dimensions in the Workplace Inclusion Scale, developed by Lennox et al. (2022), is "access to opportunity" (p. 27). This study's…
Descriptors: Work Environment, Higher Education, Action Research, Facilities Management
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